code: def get_normalized_probs(self, net_output, log_probs, sample=None):
      return self.decoder.get_normalized_probs(
          net_output, log_probs, sample
      )
  
file_path: pytext/pytext/models/seq_models/conv_model.py
imports: from typing import Dict, List, Optional, Tuple, Union
  from pytext.config import ConfigBase
  from pytext.models.module import create_module
  from torch import Tensor
  from .base import PyTextSeq2SeqModule
  from .conv_decoder import LightConvDecoder, LightConvDecoupledDecoder
  from .conv_encoder import LightConvEncoder
label_desc: Use image node_id 4 for calling the CNNModel obj's underlying member method code with example usage: obj.get_normalized_probs(net_output, log_probs, sample) and returns: self